Developed a Windows form application called Telemetry for an Electro Car using C# and Firebase, with Arduino integration. The application monitors critical vehicle metrics such as speed, battery levels, and temperature. This solution enhances real-time data visibility, allowing users to make informed decisions regarding vehicle maintenance and performance.

Impact: Improved monitoring capabilities for electric cars, enabling timely interventions to prevent breakdowns and optimize vehicle performance.

Developed a telemetry system using Arduino integration. Monitors vehicle metrics such as speed, battery levels, and temperature.

Impact: Enhanced real-time monitoring capabilities for vehicles.

Created a School Enrollment website where users can add departments and students using Java, HTML, Spring Boot, MySQL, and the MVC architectural pattern.

Impact: Streamlined the enrollment process, reducing manual errors and improving administrative efficiency for educational institutions.

Developed a Machine Learning model to detect anomalies in network traffic, identifying potential security threats and attacks.

Impact: Enhanced network security by proactively identifying threats, minimizing the risk of cyber-attacks and data breaches.

Designed and implemented a voice assistant to assist visually impaired individuals within their home environment. Utilizes Python, Machine Learning, Data Science, and AI technologies.

Impact: Significantly improved the quality of life for visually impaired users by providing an accessible way to navigate their homes independently.